Manager, Machine Learning (remote / Work From Home) Job in Coinbase

Manager, Machine Learning (remote / Work From Home)

Apply Now
Job Summary

Machine Learning Engineering Manager

Experience: 10+ years in Software Engineering, 2+ years in Engineering Management

About Coinbase:

At Coinbase, our mission is to increase economic freedom in the world. This massive, ambitious goal demands the best from us every day as we build the emerging on-chain platform and, with it, the future global financial system.

To achieve our mission, we re looking for a candidate who is passionate about our mission and believes in the power of crypto and blockchain technology to modernize the financial system. If you thrive under pressure, relish working with top-tier colleagues, and actively seek feedback to continuously improve, Coinbase may be the place for you.

The Role:

We are seeking an experienced Machine Learning Engineering Manager to lead our ML team. This team is focused on developing and scaling a multi-cloud LLM platform that caters to Coinbase s customers and employees. With over 100 million customers globally, we leverage cutting-edge AI technologies to create solutions such as customer support chatbots and predictive systems, ensuring that we deliver exceptional customer experiences.

As a hands-on leader, you'll be responsible for the continued growth of this team, working with industry-leading Large Language Models (LLMs) to provide innovative solutions for Coinbase customers and internal stakeholders. You will lead a team of talented engineers to deliver cutting-edge products while ensuring scalability, security, and customer-centricity.

What You ll Be Doing:

  • Lead a team of individual contributors (ICs) while also being hands-on with coding to build advanced ML solutions.
  • Develop and implement the multi-year strategy for the Machine Learning Language team with the technical leadership within your team.
  • Mentor and coach your direct reports, fostering growth and supporting career development.
  • Act as a technical leader, making architectural decisions to scale and enhance the LLM platform.
  • Collaborate with cross-functional teams (engineers, product managers, senior leadership) to shape and deliver a tangible roadmap every quarter.
  • Work with talent acquisition teams to recruit top engineering talent, helping to build a culture of excellence at Coinbase.
  • Drive processes to ensure engineering quality, meeting our engineering SLAs and adhering to best practices.
  • Navigate through challenges and uncertainties such as dynamic product charters, crypto market volatility, and tight product delivery timelines.
  • Manage a wide variety of stakeholders to ensure the delivery of ML-based solutions that meet company needs.

What We Look For in You:

  • At least 10 years of experience in software engineering.
  • Minimum 2 years of engineering management experience leading teams.
  • Experience managing engineers working with Machine Learning and backend technologies.
  • Proven ability to design, build, and scale production ML applications, with hands-on experience in leading highly competent engineering teams.
  • Strong understanding of high-quality code and software engineering processes.
  • A passion for building an open financial system that brings the world together.

Nice to Haves:

  • BS, MS, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.
  • Familiarity with Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive.
  • Experience with Python and data-related technologies.
  • Expertise in model interpretability and responsible AI.
  • Experience with data analysis and visualization.

Why Coinbase?

Coinbase is a fast-paced, high-energy environment where exceptional talent thrives. If you're ready to take on big challenges and make a direct impact on the future of global finance, we want you on our team. Join us and work alongside some of the best minds in the industry, driving innovation and shaping the future of crypto.


Qualification :
BS, MS, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.
Experience Required :

Minimum 10 Years

Vacancy :

2 - 4 Hires

Apply Now